Description: "Data analysis" similar to "novels" lively form, vividly to readers excellent data analysis personnel should be aware of the data analysis technology: basic steps, experiment method, optimization method and hypothesis testing methods, Bayesian statistics method, subjective probability method, heuristic method, histogram method, regression method, error handling, database, data processing skills; text, enough to three appendix introduces the data analysis of ten major priority, R tools and ToolPak tools in the show "simple data analysis" target knowledge, to build a bridge to the next study for readers.
"Data analysis" concept of ups and downs, the workplace is full of wit and humour, regardless of whether the reader or industry veteran, whether it is new; carefully worded, or Xinshou read, followed by the text in the workplace can go a few times, fun and challenge in the field of data analysis experience.
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| Filename | Size | Date |
|---|
| 深入浅出数据分析.pdf | 5520593 | 2017-11-26
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| __MACOSX | 0 | 2018-01-11
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| __MACOSX\._深入浅出数据分析.pdf | 864 | 2017-11-26 |
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